statsd-jvm-profiler | Simple JVM Profiler Using StatsD | Monitoring library

 by   etsy Java Version: 2.1.0 License: MIT

kandi X-RAY | statsd-jvm-profiler Summary

kandi X-RAY | statsd-jvm-profiler Summary

statsd-jvm-profiler is a Java library typically used in Performance Management, Monitoring, Prometheus applications. statsd-jvm-profiler has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.

Simple JVM Profiler Using StatsD and Other Metrics Backends
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            kandi-support Support

              statsd-jvm-profiler has a low active ecosystem.
              It has 330 star(s) with 91 fork(s). There are 57 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 5 open issues and 28 have been closed. On average issues are closed in 25 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of statsd-jvm-profiler is 2.1.0

            kandi-Quality Quality

              statsd-jvm-profiler has 0 bugs and 0 code smells.

            kandi-Security Security

              statsd-jvm-profiler has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              statsd-jvm-profiler code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              statsd-jvm-profiler is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              statsd-jvm-profiler releases are available to install and integrate.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed statsd-jvm-profiler and discovered the below as its top functions. This is intended to give you an instant insight into statsd-jvm-profiler implemented functionality, and help decide if they suit your requirements.
            • Performs profiling
            • Update bounds based on trace key
            • Set or increment a value in a map
            • Formats a stack trace as a string
            • Gets a map of all the tags associated with the given prefix
            • Add tags to the global tags
            • Handle remaining arguments
            • Parse the profiler arguments
            • Run profiler
            • Parse the reporter argument
            • For internal use only
            • Compares this range with the specified value
            Get all kandi verified functions for this library.

            statsd-jvm-profiler Key Features

            No Key Features are available at this moment for statsd-jvm-profiler.

            statsd-jvm-profiler Examples and Code Snippets

            No Code Snippets are available at this moment for statsd-jvm-profiler.

            Community Discussions

            Trending Discussions on statsd-jvm-profiler

            QUESTION

            spark.executor.extraJavaOptions ignored in spark-submit
            Asked 2019-Sep-19 at 08:12

            I am a newbie trying to profile a local spark job. Here is the command that I am trying to execute, but I am getting a warning stating my executor options are being ignored since they are non-spark config properties.

            error:

            Warning: Ignoring non-spark config property: “spark.executor.extraJavaOptions=javaagent:statsd-jvm-profiler-2.1.0-jar-with-dependencies.jar=server=localhost,port=8086,reporter=InfluxDBReporter,database=profiler,username=profiler,password=profiler,prefix=MyNamespace.MySparkApplication,tagMapping=namespace.application”

            Command:

            ./bin/spark-submit --master local[2] --class org.apache.spark.examples.GroupByTest --conf “spark.executor.extraJavaOptions=-javaagent:statsd-jvm-profiler-2.1.0-jar-with-dependencies.jar=server=localhost,port=8086,reporter=InfluxDBReporter,database=profiler,username=profiler,password=profiler,prefix=MyNamespace.MySparkApplication,tagMapping=namespace.application” --name HdfsWordCount --jars /Users/shprin/statD/statsd-jvm-profiler-2.1.0-jar-with-dependencies.jar libexec/examples/jars/spark-examples_2.11-2.3.0.jar

            Spark version : 2.0.3

            Please let me know, how to solve this.

            Thanks in Advance.

            ...

            ANSWER

            Answered 2018-Apr-24 at 14:02

            I think the problem is the double quote you are using to specify the spark.executor.extraJavaOptions. It should have been a single quote.

            ./bin/spark-submit --master local[2] --conf 'spark.executor.extraJavaOptions=-javaagent:statsd-jvm-profiler-2.1.0-jar-with-dependencies.jar=server=localhost,port=8086,reporter=InfluxDBReporter,database=profiler,username=profiler,password=profiler,prefix=MyNamespace.MySparkApplication,tagMapping=namespace.application' --class org.apache.spark.examples.GroupByTest --name HdfsWordCount --jars /Users/shprin/statD/statsd-jvm-profiler-2.1.0-jar-with-dependencies.jar libexec/examples/jars/spark-examples_2.11-2.3.0.jar

            Source https://stackoverflow.com/questions/50002027

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install statsd-jvm-profiler

            You will need the statsd-jvm-profiler JAR on the machine where the JVM will be running. If you are profiling Hadoop jobs, that means the JAR will need to be on all of the datanodes. The JAR can be built with mvn package. You will need a relatively recent Maven (at least Maven 3).

            Support

            Contributions are highly encouraged! Check out the contribution guidlines. Any ideas you have are welcome, but check out some ideas for contributions.
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